| Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks N Acir, I Oztura, M Kuntalp, B Baklan, C Guzelis IEEE Transactions on Biomedical Engineering 52 (1), 30-40, 2004 | 207 | 2004 |
| Automatic spike detection in EEG by a two-stage procedure based on support vector machines N Acır, C Güzeliş Computers in Biology and Medicine 34 (7), 561-575, 2004 | 119 | 2004 |
| A support vector machine classifier algorithm based on a perturbation method and its application to ECG beat recognition systems N Acır Expert Systems with Applications 31 (1), 150-158, 2006 | 118 | 2006 |
| Classification of ECG beats by using a fast least square support vector machines with a dynamic programming feature selection algorithm N Acır Neural computing & applications 14, 299-309, 2005 | 109 | 2005 |
| Automatic classification of auditory brainstem responses using SVM-based feature selection algorithm for threshold detection N Acır, Ö Özdamar, C Güzeliş Engineering Applications of Artificial Intelligence 19 (2), 209-218, 2006 | 88 | 2006 |
| Automatic recognition of sleep spindles in EEG by using artificial neural networks N Acır, C Güzeliş Expert Systems with Applications 27 (3), 451-458, 2004 | 87 | 2004 |
| A novel system for automatic removal of ocular artefacts in EEG by using outlier detection methods and independent component analysis S Çınar, N Acır Expert Systems with Applications 68, 36-44, 2017 | 68 | 2017 |
| An augmented complex-valued least-mean kurtosis algorithm for the filtering of noncircular signals EC Mengüç, N Acır IEEE Transactions on Signal Processing 66 (2), 438-448, 2017 | 65 | 2017 |
| Widely linear quaternion-valued least-mean kurtosis algorithm EC Mengüç, N Acır, DP Mandic IEEE Transactions on Signal Processing 68, 5914-5922, 2020 | 30 | 2020 |
| Automatic recognition of sleep spindles in EEG via radial basis support vector machine based on a modified feature selection algorithm N Acır, C Güzeliş Neural Computing & Applications 14, 56-65, 2005 | 29 | 2005 |
| Automated system for detection of epileptiform patterns in EEG by using a modified RBFN classifier N Acır Expert Systems with Applications 29 (2), 455-462, 2005 | 25 | 2005 |
| Kurtosis-based CRTRL algorithms for fully connected recurrent neural networks EC Mengüç, N Acır IEEE Transactions on Neural Networks and Learning Systems 29 (12), 6123-6131, 2018 | 23 | 2018 |
| Capsule network for finger-vein-based biometric identification D Gumusbas, T Yildirim, M Kocakulak, N Acir 2019 IEEE symposium series on computational intelligence (SSCI), 437-441, 2019 | 21 | 2019 |
| An augmented complex-valued Lyapunov stability theory based adaptive filter algorithm EC Mengüç, N Acır Signal Processing 137, 10-21, 2017 | 19 | 2017 |
| Complex-valued least mean kurtosis adaptive filter algorithm EC Mengüç, N Acir 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 16 | 2016 |
| Convolutional neural network designs for finger-vein-based biometric identification A Avcı, M Kocakulak, N Acır 2019 11th International Conference on Electrical and Electronics Engineering …, 2019 | 14 | 2019 |
| A novel adaptive filter design using Lyapunov stability theory EC MENGÜÇ, N Acir Turkish Journal of Electrical Engineering and Computer Sciences 23 (3), 719-728, 2015 | 13 | 2015 |
| Lyapunov stability theory based adaptive filter algorithm for noisy measurements EC Mengüç, N Acir 2013 UKSim 15th International Conference on Computer Modelling and …, 2013 | 13 | 2013 |
| Auditory brainstem response classification for threshold detection using estimated evoked potential data: comparison with ensemble averaged data N Acır, Y Erkan, YA Bahtiyar Neural Computing and Applications 22, 859-867, 2013 | 12 | 2013 |
| A modified adaptive IIR filter design via wavelet networks based on Lyapunov stability theory N Acır Neural Computing and Applications 17, 463-469, 2008 | 10 | 2008 |
